Abstract:
PURPOSE:StereoElectroEncephaloGraphy (SEEG) is done to identify the epileptogenic zone of the brain using several multi-lead electrodes whose positions in the brain are pre-operatively defined. Intracranial hemorrhages due to disruption of blood vessels can cause major complications of this procedure ([Formula: see text]1%). In order to increase the intervention safety, we developed and tested planning tools to assist neurosurgeons in choosing the best trajectory configuration. METHODS:An automated planning method was developed that maximizes the distance of the electrode from the vessels and avoids the sulci as entry points. The angle of the guiding screws is optimized to reduce positioning error. The planner was quantitatively and qualitatively compared with manually computed trajectories on 26 electrodes planned for three patients undergoing SEEG by four neurosurgeons. Quantitative comparison was performed computing for each trajectory using (a) the Euclidean distance from the closest vessel and (b) the incidence angle. RESULTS:Quantitative evaluation shows that automatic planned trajectories are safer in terms of distance from the closest vessel with respect to manually planned trajectories. Qualitative evaluation performed by four neurosurgeons showed that the automatically computed trajectories would have been preferred to manually computed ones in 30% of the cases and were judged good or acceptable in about 86% of the cases. A significant reduction in time required for planning was observed with the automated system (approximately 1/10). CONCLUSION:The automatic SEEG electrode planner satisfied the essential clinical requirements, by providing safe trajectories in an efficient timeframe.
journal_name
Int J Comput Assist Radiol Surgauthors
De Momi E,Caborni C,Cardinale F,Casaceli G,Castana L,Cossu M,Mai R,Gozzo F,Francione S,Tassi L,Lo Russo G,Antiga L,Ferrigno Gdoi
10.1007/s11548-014-1004-1subject
Has Abstractpub_date
2014-11-01 00:00:00pages
1087-97issue
6eissn
1861-6410issn
1861-6429pii
10.1007/s11548-014-1004-1journal_volume
9pub_type
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journal_title:International journal of computer assisted radiology and surgery
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